Machine Learning (ML) is the evolution of artificial intelligence where the computer (program) works with data to discover patterns (also called features) that can be used later to evaluate other data. ML is typically broken down into three categories: supervised ML, unsupervised ML, and reinforcement learning.

On May 15th Trevor Trinkino presented part two of a three-part Machine Learning webinar with FXCM.
Part one is here.
Part 2 - Preprocess data for Random Forest. PnL and prediciton improvements...
In part two Trevor goes over…

This week Google I/0 2018 dominates, even though Microsoft attempted to grab some of the limelight it was Google's impressive use of AI and ML across the board that served to re-enforce how far ahead they are.

China now has the biggest AI company in the world, Students Hackathon for Social Good, Route finding using Deep Mind and Google Street view, the future of Insurance in a world for self-driving cars and using big data to decide when to sell a stock.

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